ABSTRACT
Newcastle disease virus (NDV) is a contagious poultry paramyxovirus, leading to substantial economic losses to the poultry industry. Here, RNA-seq was carried out to investigate the altered expression of immune-related genes in chicken thymus within 96 h in response to NDV infection. In NDV-infected chicken thymus tissues, comparative transcriptome analysis revealed 1386 differentially expressed genes (DEGs) at 24 h with 989 up- and 397 down-regulated genes, 728 DEGs at 48 h with 567 up- and 161 down-regulated genes, 1514 DEGs at 72 h with 1016 up- and 498 down-regulated genes, and 1196 DEGs at 96 h with 522 up- and 674 down-regulated genes, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that these candidate targets mainly participate in biological processes or biochemical, metabolic and signal transduction processes. Notably, there is large enrichment in biological processes, cell components and metabolic processes, which may be related to NDV pathogenicity. In addition, the expression of five immune-related DEGs identified by RNA-seq was validated by quantitative real-time polymerase chain reaction (qRT-PCR). Our results indicated that the expression levels of AvBD5, IL16, IL22 and IL18R1 were obviously up-regulated, and Il-18 expression was also changed, but not significantly, which play key roles in the defense against NDV. Overall, we identified several candidate targets that may be involved in the regulation of NDV infection, which provide new insights into the complicated regulatory mechanisms of virus-host interactions, and explore new strategies for protecting chickens against the virus.
Subject(s)
Chickens/genetics , Chickens/immunology , Newcastle Disease/genetics , Newcastle Disease/immunology , Newcastle disease virus/immunology , Transcriptome/genetics , Viral Vaccines/immunology , Animals , Chickens/virology , Down-Regulation/immunology , Gene Expression Profiling/methods , Newcastle Disease/virology , Poultry Diseases/genetics , Poultry Diseases/immunology , Poultry Diseases/virology , Sequence Analysis, RNA/methods , Transcriptome/immunology , Up-Regulation/immunologyABSTRACT
OBJECTIVE: To explore the effect of glucose fluctuation on resistin. METHODS: The phorbol-12-myristate-13-acetate(PMA)-activated and differentiated U937 cells were exposed to experimental condition for 3 days, three groups of cells were formed, each one receiving the following fresh medium every 6 hours, respectively: (1) continuous 11.1 mmol/L glucose concentration medium (Con group), (2) continuous 22.2 mmol/L glucose concentration medium (CHG group), (3) alternating 11.1 mmol/L glucose concentration and 22.2 mmol/L glucose concentration medium every 6 hours (IHG group). The supernatants of cell median at the last 6 hours were collected to test resistin concentration. Besides, 92 subjects were selected and classified into three groups according to the results of oral glucose tolerance test: normal glucose tolerance group (NGT group, n=30), impaired glucose tolerance patients (IGT group, n=31) and newly diagnosed type 2 diabetes patients (T2DM group, n=31). Blood glucose and serum resistin levels were measured at 0 h and 1 h during oral glucose tolerance test (OGTT) to compare the glucose fluctuation (ΔGlu1-0) and the change of serum resistin level (ΔlnRes1-0) among the three groups. RESULTS: Resistin concentration in the Con, CHG and IHG group was (73.62±5.07) ng/L, (97.78±7.00) ng/L and (212.49±28.81) ng/L respectively and in IHG group it was higher as compared with the other two groups (P<0.05). ΔGlu1-0 in NGT, IGT and T2DM group was (2.31±2.30) mmol/L, (5.70±2.08) mmol/L and (8.41±2.63) mmol/L respectively; ΔGlu1-0 increased gradually in all the three groups (P<0.05). Serum resistin level from 0 h to 1 h in the NGT group was 6.41 (1.52-15.76) µg/L to 6.96 (1.52-22.70) µg/L, in the IGT group 5.47 (1.49-24.09) µg/L to 9.12 (1.27-21.94) µg/L and in the T2DM group 5.77 (1.11-30.10) µg/L to 9.27(1.02-48.15) µg/L. In the IGT and T2DM group serum resistin level increased from 0 h to 1 h (P<0.05), but no difference was observed in the NGT group (P>0.05). ΔlnRes1-0 in these 3 groups was (0.05±0.05) µg/L, (0.25±0.04) µg/L and (0.37±0.03) µg/L respectively and the change in the T2DM group was significant as compared with that in the NGT group, ΔlnRes1-0 was positively correlated with ΔGlu1-0 (r=0.23, P=0.02). CONCLUSION: Glucose fluctuation induced monocyte/macrophage to secrete resistin, greater the glucose fluctuation, greater the change of amplitude of serum resistin.
